Literature DB >> 30421399

SignaLink: Multilayered Regulatory Networks.

Luca Csabai1, Márton Ölbei2,3, Aidan Budd2, Tamás Korcsmáros4,5,6, Dávid Fazekas1,2.   

Abstract

Biological networks are graphs used to represent the inner workings of a biological system. Networks describe the relationships of the elements of biological systems using edges and nodes. However, the resulting representation of the system can sometimes be too simplistic to usefully model reality. By combining several different interaction types within one larger multilayered biological network, tools such as SignaLink provide a more nuanced view than those relying on single-layer networks (where edges only describe one kind of interaction). Multilayered networks display connections between multiple networks (i.e., protein-protein interactions and their transcriptional and posttranscriptional regulators), each one of them describing a specific set of connections. Multilayered networks also allow us to depict cross talk between cellular systems, which is a more realistic way of describing molecular interactions. They can be used to collate networks from different sources into one multilayered structure, which makes them useful as an analytic tool as well.

Entities:  

Keywords:  Data integration; Molecular network; Multilayered network; Network format; Network resources; Signal transduction; Signaling; Workflow

Mesh:

Substances:

Year:  2018        PMID: 30421399     DOI: 10.1007/978-1-4939-8618-7_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  12 in total

1.  CausalTAB: the PSI-MITAB 2.8 updated format for signalling data representation and dissemination.

Authors:  L Perfetto; M L Acencio; G Bradley; G Cesareni; N Del Toro; D Fazekas; H Hermjakob; T Korcsmaros; M Kuiper; A Lægreid; P Lo Surdo; R C Lovering; S Orchard; P Porras; P D Thomas; V Touré; J Zobolas; L Licata
Journal:  Bioinformatics       Date:  2019-10-01       Impact factor: 6.937

2.  A comprehensive SARS-CoV-2-human protein-protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets.

Authors:  Yadi Zhou; Yuan Liu; Shagun Gupta; Mauricio I Paramo; Yuan Hou; Chengsheng Mao; Yuan Luo; Julius Judd; Shayne Wierbowski; Marta Bertolotti; Mriganka Nerkar; Lara Jehi; Nir Drayman; Vlad Nicolaescu; Haley Gula; Savaş Tay; Glenn Randall; Peihui Wang; John T Lis; Cédric Feschotte; Serpil C Erzurum; Feixiong Cheng; Haiyuan Yu
Journal:  Nat Biotechnol       Date:  2022-10-10       Impact factor: 68.164

3.  Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer's disease.

Authors:  Jiansong Fang; Pengyue Zhang; Yadi Zhou; Chien-Wei Chiang; Juan Tan; Yuan Hou; Shaun Stauffer; Lang Li; Andrew A Pieper; Jeffrey Cummings; Feixiong Cheng
Journal:  Nat Aging       Date:  2021-12-06

4.  A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19.

Authors:  Yadi Zhou; Yuan Hou; Jiayu Shen; Reena Mehra; Asha Kallianpur; Daniel A Culver; Michaela U Gack; Samar Farha; Joe Zein; Suzy Comhair; Claudio Fiocchi; Thaddeus Stappenbeck; Timothy Chan; Charis Eng; Jae U Jung; Lara Jehi; Serpil Erzurum; Feixiong Cheng
Journal:  PLoS Biol       Date:  2020-11-06       Impact factor: 8.029

5.  Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment.

Authors:  Yadi Zhou; Jielin Xu; Yuan Hou; James B Leverenz; Asha Kallianpur; Reena Mehra; Yunlong Liu; Haiyuan Yu; Andrew A Pieper; Lara Jehi; Feixiong Cheng
Journal:  bioRxiv       Date:  2021-03-22

6.  Target identification among known drugs by deep learning from heterogeneous networks.

Authors:  Xiangxiang Zeng; Siyi Zhu; Weiqiang Lu; Zehui Liu; Jin Huang; Yadi Zhou; Jiansong Fang; Yin Huang; Huimin Guo; Lang Li; Bruce D Trapp; Ruth Nussinov; Charis Eng; Joseph Loscalzo; Feixiong Cheng
Journal:  Chem Sci       Date:  2020-01-13       Impact factor: 9.969

7.  Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment.

Authors:  Yadi Zhou; Jielin Xu; Yuan Hou; James B Leverenz; Asha Kallianpur; Reena Mehra; Yunlong Liu; Haiyuan Yu; Andrew A Pieper; Lara Jehi; Feixiong Cheng
Journal:  Alzheimers Res Ther       Date:  2021-06-09       Impact factor: 6.982

8.  Multimodal single-cell omics analysis identifies epithelium-immune cell interactions and immune vulnerability associated with sex differences in COVID-19.

Authors:  Yuan Hou; Yadi Zhou; Michaela U Gack; Justin D Lathia; Asha Kallianpur; Reena Mehra; Timothy A Chan; Jae U Jung; Lara Jehi; Charis Eng; Feixiong Cheng
Journal:  Signal Transduct Target Ther       Date:  2021-07-30

9.  BioLitMine: Advanced Mining of Biomedical and Biological Literature About Human Genes and Genes from Major Model Organisms.

Authors:  Yanhui Hu; Verena Chung; Aram Comjean; Jonathan Rodiger; Fnu Nipun; Norbert Perrimon; Stephanie E Mohr
Journal:  G3 (Bethesda)       Date:  2020-12-03       Impact factor: 3.154

Review 10.  Assembling Disease Networks From Causal Interaction Resources.

Authors:  Gianni Cesareni; Francesca Sacco; Livia Perfetto
Journal:  Front Genet       Date:  2021-06-11       Impact factor: 4.599

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